Hyperspectral Imaging: Volume 32

Hyperspectral Imaging: Volume 32 book cover

Hyperspectral Imaging: Volume 32

Author(s): Jose Manuel Amigo (Author), Vladlena Benson

  • Publisher: Elsevier
  • Publication Date: 1 Oct. 2019
  • Edition: 1st
  • Language: English
  • Print length: 800 pages
  • ISBN-10: 0444639772
  • ISBN-13: 9780444639776

Book Description

Emerging Cyber Threats and Cognitive Vulnerabilities identifies the critical role human behavior plays in cybersecurity and provides insights into how human decision-making can help address rising volumes of cyberthreats. The book examines the role of psychology in cybersecurity by addressing each actor involved in the process: hackers, targets, cybersecurity practitioners and the wider social context in which these groups operate. It applies psychological factors such as motivations, group processes and decision-making heuristics that may lead individuals to underestimate risk. The goal of this understanding is to more quickly identify threat and create early education and prevention strategies.

This book covers a variety of topics and addresses different challenges in response to changes in the ways in to study various areas of decision-making, behavior, artificial intelligence, and human interaction in relation to cybersecurity.

Editorial Reviews

Review

State-of-the-art exploration of the analytical methodologies applied in hyperspectral imaging, along with their applications in scientific and industrial areas

About the Author

Jose Manuel Amigo is a Research Professor at IKERBASQUE, the Basque Foundation for Sciences in Bilbao and a Distinguished Professor at the Department of Analytical Chemistry, University of Basque Country, Spain. He obtained his PhD (Cum Laude) in Chemistry from the Autonomous University of Barcelona, Spain. He was employed as a post-doctoral student (2007 – 2009) and an Associate Professor (2010 – 2019) at the Department of Food Science of the University of Copenhagen, Denmark. In 2017, he was at the same time a guest Professor at the Federal University of Pernambuco, Brazil. Current research interests include hyperspectral and digital image analysis and the application of Chemometrics (i.e. Machine and Deep Learning). He has authored over 180 publications (150+ peer-reviewed papers, books, book chapters, proceedings, etc.) and has given more than 60 conferences and courses at international meetings. Jose has supervised or is currently supervising several MSc, PhD and Post Docs, and he is an editorial board member of four scientific journals within chemometrics. Moreover, he received the “2014 Chemometrics and Intelligent Laboratory Systems Award” for his achievements in the field of Chemometrics and the “2019 Tomas Hirschfeld Award” for his achievements in the field of Near Infrared.

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